IoTDI 2023

8th ACM/IEEE Conference on Internet of Things Design and Implementation May 9-12, 2023 — San Antonio, Texas

Awards


Best Paper Award

IoT System Vulnerability Analysis and Network Hardening with Shortest Attack Trace in a Weighted Attack Graph.
Yinxin Wan, Xuanli Lin, Abdulhakim Sabur, Alena Chang, Kuai Xu, and Guoliang Xue (Arizona State University).

Best Paper Award for IoT Security

IoT System Vulnerability Analysis and Network Hardening with Shortest Attack Trace in a Weighted Attack Graph.
Yinxin Wan, Xuanli Lin, Abdulhakim Sabur, Alena Chang, Kuai Xu, and Guoliang Xue (Arizona State University).

Best Paper Award for IoT Edge AI

One Ring to Rule Them All: An Open Source Smartring Platform for Finger Motion Analytics and Healthcare Applications.
Hao Zhou, Taiting Lu, Yilin Liu, Shijia Zhang, Runze Liu, and Mahanth Gowda (Pennsylvania State University).

Best Paper Award for IoT Digital Twins

Acuity: Creating Realistic Digital Twins Through Multi-resolution Pointcloud Processing and Audiovisual Sensor Fusion.
Jason Wu, Ziqi Wang, Ankur Sarker, and Mani Srivastava (University of California Los Angeles).

Best Paper Award for IoT Data Analytics

Detecting Mental Disorders with Wearables: A Large Cohort Study.
Ruixuan Dai, Thomas Kannampallil, Seunghwan Kim, Vera Thornton, Laura Bierut, and Chenyang Lu (Washington University in St. Louis).

Best Poster Award

Battery-free and Passive Wake-up Receiver for Underwater Communication.
Lukas Schulthess (ETH Zürich), Philipp Mayer (ETH Zürich), Michele Magno (ETH Zürich).

Best Poster Award Runner-Up

A LoRa-based Energy-Efficient, Sensing System for Urban Computing.
Lukas Schulthess (ETH Zürich), Tiago Salzmann (ETH Zürich), Christian Vogt (ETH Zürich), Michele Magno (ETH Zürich).

Best Demo Award

In-Ear-Voice - Towards Milli-Watt Audio Enhancement With Bone-Conduction Microphones for In-Ear Sensing Platforms.
Philipp Schilk (ETH Zürich), Niccolò Polvani (Logitech Europe, EPFL), Andrea Ronco (ETH Zürich), Milos Cernak (Logitech Europe), Michele Magno (ETH Zürich).

Best Demo Award Runner-Up

A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity.
Allen-Jasmin Farcas (The University of Texas at Austin), Radu Marculescu (The University of Texas at Austin).